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Digital Methods and Remote Sensing in Archaeology

Overview of attention for book
Cover of 'Digital Methods and Remote Sensing in Archaeology'

Table of Contents

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    Book Overview
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    Chapter 1 Terrestrial Laser Scanning in the Age of Sensing
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    Chapter 2 Airborne Laserscanning in Archaeology: Maturing Methods and Democratizing Applications
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    Chapter 3 Terrestrial Lidar and GPR Investigations into the Third Line of Battle at Guilford Courthouse National Military Park, Guilford County, North Carolina
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    Chapter 4 Applying UAS Photogrammetry to Analyze Spatial Patterns of Indigenous Settlement Sites in the Northern Dominican Republic
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    Chapter 5 Towards a Holistic Archaeological Survey Approach for Ancient Cityscapes
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    Chapter 6 Sensing Ruralscapes. Third-Wave Archaeological Survey in the Mediterranean Area
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    Chapter 7 What Do the Patterns Mean? Archaeological Distributions and Bias in Survey Data
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    Chapter 8 3D Tool Evaluation and Workflow for an Ecological Approach to Visualizing Ancient Socio-environmental Landscapes
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    Chapter 9 Visualizing Medieval Iberia’s Contested Space Through Multiple Scales of Visibility Analysis
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    Chapter 10 Pre- and Proto-Historic Anthropogenic Landscape Modifications in Siem Reap Province (Cambodia) as Seen Through Satellite Imagery
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    Chapter 11 The Ambivalence of Maps: A Historical Perspective on Sensing and Representing Space in Mesoamerica
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    Chapter 12 Cyber Archaeology: 3D Sensing and Digital Embodiment
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    Chapter 13 Emergent Relationality System/The Insight Engine
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    Chapter 14 Using 3D GIS Platforms to Analyse and Interpret the Past
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    Chapter 15 Archaeology in the Age of Supercomputing
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    Chapter 16 Measuring the Face of the Past and Facing the Measurement
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    Chapter 17 An Integrated Archaeological Prospection and Excavation Approach at a Middle Neolithic Circular Ditch Enclosure in Austria
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    Chapter 18 Creating a Chronological Model for Historical Roads and Paths Extracted from Airborne Laser Scanning Data
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    Chapter 19 From Remote to Embodied Sensing: New Perspectives for Virtual Museums and Archaeological Landscape Communication
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    Chapter 20 Cultural Heritage and Digital Technologies
Overall attention for this book and its chapters
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Citations

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Readers on

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66 Mendeley
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Title
Digital Methods and Remote Sensing in Archaeology
Published by
Quantitative Methods in the Humanities and Social Sciences, January 2016
DOI 10.1007/978-3-319-40658-9
ISBNs
978-3-31-940656-5, 978-3-31-940658-9
Editors

Maurizio Forte, Stefano Campana

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 66 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 66 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 19 29%
Researcher 14 21%
Student > Doctoral Student 9 14%
Student > Bachelor 8 12%
Student > Master 8 12%
Other 14 21%
Readers by discipline Count As %
Arts and Humanities 33 50%
Social Sciences 14 21%
Engineering 8 12%
Earth and Planetary Sciences 5 8%
Computer Science 3 5%
Other 5 8%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 28 February 2017.
All research outputs
#21,160,107
of 25,992,468 outputs
Outputs from Quantitative Methods in the Humanities and Social Sciences
#1
of 1 outputs
Outputs of similar age
#298,161
of 402,374 outputs
Outputs of similar age from Quantitative Methods in the Humanities and Social Sciences
#1
of 1 outputs
Altmetric has tracked 25,992,468 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1 research outputs from this source. They receive a mean Attention Score of 0.5. This one scored the same or higher as 0 of them.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 402,374 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them